Density Cum Priority based Adaptive Traffic Light Control System
A. Sahaya Ponrekha1, Kamesh Rath2, Shubham Ghosh3, Utkarsh Dwivedi4
1Mrs. A. Sahaya Ponrekha, Assistant Professor, Department of Electrical and Electronics and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Kamesh Rath, Student, Department of Electrical and Electronics and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Shubham Ghosh, Student, Department of Electrical and Electronics and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4Utkarsh Dwivedi, Student, Department of Electrical and Electronics and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 18 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3363-3367 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B15650982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1565.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Advancement of technology and increase in population density expands the quantity of vehicles out. This in turn increases the traffic density, which necessitates the well developed traffic controller. This paper explains a microcontroller based traffic control system. To explain about the system a four way junction is considered. In addition to the normal traffic control system, two special cases are also handled in this system. The developed system is dealing problem of highly dense lane.IR sensors are used to detect the density of the vehicles. This system also help to avoid the unnecessary delay for the priority vehicles. RFID technique is used to identify the priority vehicles. An IOT WIFI module is used in this system to display the traffic signal status and to store the traffic data. This traffic data can be processed in future to design the improved adaptive control system.
Keywords: IR sensor, RFID, Arduino UNO Micro Controller, IoT.
Scope of the Article: Adaptive Networking Applications